Deep Learning Tutorial
Many policy domains face limited labeled data
(annotation is expensive, slow, or requires domain expertise)
Applications:
Few-shot learning (FSL) can help:
Tutorial Task: apply Prototypical Networks to rooftop semantic segmentation using only a few labeled tiles
Few-shot segmentation helps the model capture key rooftop patterns from just a few Geneva tiles and apply them across the city
Demonstrates how rooftop maps can be generated to support solar potential analysis in a new city
Geneva outline with sample rooftop data (self-made visualization)
Size: 1,050 labeled image-mask pairs
Task: Binary segmentation masks (rooftop vs background)
Geographic splits: 3 grids/ neighborhoods (North, Center, South)
Image size: 250x250 pixels
Categories: Industrial, Residential
Geneva Animation: raw image → rooftop mask → overlay